The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 24, 2024

Filed:

Aug. 30, 2022
Applicant:

Michael Stephen Fiske, San Francisco, CA (US);

Inventor:

Michael Stephen Fiske, San Francisco, CA (US);

Assignee:

Aemea Inc., Las Vegas, NV (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 10/00 (2022.01); G06F 9/30 (2018.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/3004 (2013.01); G06N 10/00 (2019.01);
Abstract

We describe a computing machine (ex-machine) that uses self-modification and randomness to enhance computation. An ex-machine program can compute languages that a standard machine cannot compute. An ex-machine has three types of instructions: standard, meta and random. One or more meta instructions self-modify the machine as it executes. Sometimes standard instructions are expressed in the C programming language or a hardware description language (VHDL). In an embodiment, random instructions take measurements from a random source that measures quantum events. In an embodiment, an ex-machine receives a computer program as input, containing only standard instructions. An ex-machine can combines random instructions and meta instructions to self-modify its instructions, so that it can evolve to compute (verify) the correctness of the computer program that it received as input. In an embodiment, an ex-machine uses its meta and random instructions to improve its machine learning procedures as the ex-machine is computing.


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